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Engineering and Technology

D-Index
48
Citations
6931
World Ranking
4685
National Ranking
72

Overview

Rajagopalan Srinivasan is affiliated with the Indian Institute of Technology Madras in India. Their research spans the field of engineering, with a particular focus on control and systems engineering, social psychology, statistics, probability and uncertainty, industrial and manufacturing engineering, and radiological and ultrasound technology.

Srinivasan's work primarily covers topics such as human-automation interaction and safety, fault detection and control systems, risk and safety analysis, occupational health and safety research, process optimization and integration, advanced control systems optimization, and healthcare technology and patient monitoring.

Frequent publication venues for their research include:

  • Process Safety and Environmental Protection
  • Computers & Chemical Engineering
  • Industrial & Engineering Chemistry Research
  • Chemical Engineering Science
  • Journal of Loss Prevention in the Process Industries

Recent papers authored or coauthored by Srinivasan feature topics related to accident report mining, cognitive workload assessment, artificial intelligence for fault classification, effectiveness of operator training, and virtual reality applications for chemical safety. These include:

  • Text mining of accident reports using semi-supervised keyword extraction and topic modeling (2021, Process Safety and Environmental Protection)
  • Dynamic assessment of control room operator's cognitive workload using Electroencephalography (EEG) (2020, Computers & Chemical Engineering)
  • An explainable artificial intelligence based approach for interpretation of fault classification results from deep neural networks (2021, Chemical Engineering Science)
  • Electroencephalography (EEG) based cognitive measures for evaluating the effectiveness of operator training (2021, Process Safety and Environmental Protection)
  • Review of Virtual Reality (VR) Applications To Enhance Chemical Safety: From Students to Plant Operators (2022, ACS Chemical Health & Safety)

Srinivasan frequently collaborates with several coauthors, including Babji Srinivasan, Mohd Umair Iqbal, Mohammed Aatif Shahab, Iftekhar A. Karimi, and Abhijit Bhakte. These collaborations have contributed significantly to the development of their research output.

Best Publications

  • Agent-based supply chain management—1: framework

    Nirupam Julka;Rajagopalan Srinivasan;I Karimi

  • Data-Driven Soft Sensor Approach for Quality Prediction in a Refining Process

    D. Wang;Jun Liu;R. Srinivasan

  • A new continuous-time formulation for scheduling crude oil operations

    P.Chandra Prakash Reddy;I.A. Karimi;R. Srinivasan

  • Novel Solution Approach for Optimizing Crude Oil Operations

    P. Chandra Prakash Reddy;I. A. Karimi;R. Srinivasan

  • Agent-based supply chain management—2: a refinery application

    Nirupam Julka;I. Karimi;Rajagopalan Srinivasan

  • Sustainability trends in the process industries: A text mining-based analysis

    Wan Te Liew;Arief Adhitya;Rajagopalan Srinivasan

  • A statistical approach for evaluating inherent benign-ness of chemical process routes in early design stages

    Rajagopalan Srinivasan;Nguyen Trong Nhan

  • Selection of inherently safer process routes: a case study

    Chidambaram Palaniappan;Rajagopalan Srinivasan;Reginald Tan

  • Online monitoring of multi-phase batch processes using phase-based multivariate statistical process control

    Xuan-Tien Doan;Rajagopalan Srinivasan

  • Expert system for the design of inherently safer processes. 1. Route selection stage

    Chidambaram Palaniappan;Rajagopalan Srinivasan;Reginald Tan

  • Optimal variable selection for effective statistical process monitoring

    Kaushik Ghosh;Manojkumar Ramteke;Rajagopalan Srinivasan

  • Decision support for integrated refinery supply chains: Part 1. Dynamic simulation

    Suresh S. Pitty;Wenkai Li;Arief Adhitya;Rajagopalan Srinivasan;Rajagopalan Srinivasan

  • A model-based rescheduling framework for managing abnormal supply chain events

    Arief Adhitya;Rajagopalan Srinivasan;Iftekhar A. Karimi

  • Improving the robustness and efficiency of crude scheduling algorithms

    Jie Li;Wenkai Li;I. A. Karimi;Rajagopalan Srinivasan

  • Dynamic principal component analysis based methodology for clustering process states in agile chemical plants

    R. Srinivasan;C. Wang;W. K. Ho;K. W. Lim

  • Recipe determination and scheduling of gasoline blending operations

    Jie Li;I. A. Karimi;Rajagopalan Srinivasan

  • Multi-linear model-based fault detection during process transitions

    Anshuman Bhagwat;Rajagopalan Srinivasan;P. R. Krishnaswamy

  • Application of the TRIZ creativity enhancement approach to design of inherently safer chemical processes

    Rajagopalan Srinivasan;Andrzej Kraslawski

  • Supply chain risk identification using a HAZOP‐based approach

    Arief Adhitya;Rajagopalan Srinivasan;Rajagopalan Srinivasan;Iftekhar A. Karimi

  • Expert System for the Design of Inherently Safer Processes. 2. Flowsheet Development Stage

    Chidambaram Palaniappan;Rajagopalan Srinivasan;Reginald B. Tan

  • Automating HAZOP analysis of batch chemical plants: Part I. The knowledge representation framework

    Rajagopalan Srinivasan;Venkat Venkatasubramanian

Frequent Co-Authors

Iftekhar A. Karimi
Iftekhar A. Karimi National University of Singapore
Venkat Venkatasubramanian
Venkat Venkatasubramanian Columbia University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Reginald B. H. Tan
Reginald B. H. Tan National University of Singapore
Rafiqul Gani
Rafiqul Gani Széchenyi István University
Wieslaw L. Nowinski
Wieslaw L. Nowinski Nowinski Brain Foundation
Sreenivas Jayanti
Sreenivas Jayanti Indian Institute of Technology Madras
Iiro Harjunkoski
Iiro Harjunkoski Aalto University
Karl-Erik Årzén
Karl-Erik Årzén Lund University

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